Problem
AI coding agents often edit before inspection, overreach across files, and report completion without auditable proof.
Tool Case Study
Safe Code Agent
Inspect-first agent workflow for safer code edits, scoped approvals, and evidence-based verification.
Public PreviewAI coding workflow skillPublic Release
Solution
Built a structured skill package with mode-based risk routing, minimal patch discipline, and a pre-approval planning report before risky execution.
Result
Released a public, reusable package while keeping the website language aligned with preview-stage adoption rather than a finished commercial service.
Current capabilities
Risk-based mode routing
Pre-approval planning for risky work
Evidence-oriented verification reporting
Minimal-patch discipline
Preparing
Broader adoption examples
More packaged usage guides for non-repo contexts
Additional release proof around workflow reuse
How it works
01
Inspect the repository, risk signals, and expected change boundary before editing.
02
Route the task through mode selection, activated gates, and a compact planning report.
03
Patch only the approved scope, then verify with real command output and evidence labels.
Build proof
Public repository and tagged release are available for review.
Skill package documents mode selection, gate routing, and evidence reporting.
Designed to reduce over-editing, hidden assumptions, and unverified completion claims.
Current status
Public Preview. This page presents a lightweight case study and links outward for repositories, releases, demos, or heavy artifacts instead of bundling them into the website runtime.
Availability
Public repository available now. Broader packaged rollout stays in preview mode.
Terminology
coding-agent skillrisk routingpre-approval planningminimal patchevidence reportverification gate
Stack
MarkdownYAMLGitHubPython validationRelease docs